Multi-plié

Pauchet, Sylvain; Vinot, Jean-Luc; Letondal, Catherine; Lemort, Alexandre; Lavenir, Claire; Lecomte, Thierry; Rey, Stéphanie; Becquet, Valentin; Crouzet, Guillaume

doi:10.1145/3290605.3300384

Cited by 10 publications

(5 citation statements)

References 37 publications

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“…By combining tangible and touch features, interfaces can counteract the negative effects of turbulence by offering appropriate solutions [35,62,63]. Hutchins [35] presented a graphical interface for autopilot mode management systems.…”

Section: Touch the First Dimension Relates Tomentioning

confidence: 99%

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Developing a Design Space for Critiquing Autopilot Interfaces

Dubus,

Brock,

Mackay

2024

Proceedings of the 35th Conference on l'Interaction Humain-Machine

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Autopilot interfaces are designed to help aircrews maintain awareness about the aircraft's current automation mode, the lack of which can lead to fatal accidents. However, even though researchers have identified multiple design flaws, cockpit designs remain largely unchanged. We first review the research literature on autopilot design, with a special emphasis on addressing mode awareness in order to create a design space that characterizes autopilot interfaces. We next follow a generative design approach that analyzes and critiques three existing commercial autopilot interfaces with respect to this design space so as to identify their gaps and limitations.We then extend the design space to include additional design dimensions and conclude by suggesting directions for improving future autopilots.Les interfaces de pilotage automatique sont conçues pour aider l'équipage à rester conscients du comportement de l'avion, car un manque de cette conscience peut entraîner des accidents graves. Malgré l'identification de défauts de conception, leurs interfaces restent largement inchangées. Nous passons d'abord en revue les travaux de la littérature sur les conceptions de pilotes automatiques afin de créer un espace de conception qui les caractérise. Notre approche de conception générative a guidé l'analyse et la critique de trois cockpits commerciaux existants, conduisant à l'identification de leurs limites. Enfin, nous avons étendu le design space avec de nouvelles dimensions, suggérant ainsi des directions futures pour la conception des interfaces d'autopilotage.CCS Concepts: • Human-centered computing → User interface design.

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Section: Touch the First Dimension Relates Tomentioning

confidence: 99%

“…The results of their user study demonstrated that GazeForm generated a lower subjective mental workload and led to a higher efficiency of execution. In another study, Pauchet et al [63] explored a foldable interactive surface with the goal to make touch interaction in the cockpit more efficient and reliable.…”

Section: Touch the First Dimension Relates Tomentioning

confidence: 99%

Developing a Design Space for Critiquing Autopilot Interfaces

Dubus,

Brock,

Mackay

2024

Proceedings of the 35th Conference on l'Interaction Humain-Machine

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“…Future work should take into consideration the impact of macro-and micro-properties on the contexts of use as they arise, i.e. either existing contexts which could benefit from the implementation of modular UIs (e.g., the same way nonmodular shape-changing control devices are studied to replace bulky control interfaces [79,80]) or new usages uniquely enabled by modular shape-changing UIs.…”

Section: Limitationsmentioning

confidence: 99%

Molecular HCI

Pruszko

Coutrix

Laurillau

et al. 2021

Proc. ACM Hum.-Comput. Interact.

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Shape-changing User Interfaces attract growing interest in Human-Computer Interaction. Modular robotics offer a great opportunity for their implementation. However, the current theoretical and technical advances of modular robotics are fragmented and little centered on the user. To unify existing work and center future research on the user, we perform a systematic literature review enabling us to build a unifying space for the design of modular shape-changing user interfaces.Our aim is to bridge the gap between HCI and robotics. We relate properties of different domains and identify inconsistencies to structure the design space. Towards this aim, we conduct a thorough cross-disciplinary survey to propose: 1) a set of design properties at the scale of the interface (macro-scale) and at the scale of the modules (micro-scale) and 2) the impact of these properties on each other. This paper can be used to describe and compare existing modular shape-changing UIs and generate new design ideas by building upon knowledge from robotics and HCI.

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“…Both studies were performed on a vibrating platform and asked participants to manage alerts during the tasks. GazeForm [31] and Multi-Plié [32] are two interfaces combining touch and physical interaction. GazeForm is a classical touchscreen which turns into a physical interface (i.e., a rotary encoder emerges from the surface) when the user does not look at it anymore.…”

Section: Interaction In the Cockpitmentioning

confidence: 99%

M[eye]cro

Wambecke

Goguey

Nigay

et al. 2021

Proc. ACM Hum.-Comput. Interact.

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We present M[eye]cro an interaction technique to select on-screen objects and navigate menus through the synergistic use of eye-gaze and thumb-to-finger microgestures. Thumb-to-finger microgestures are gestures performed with the thumb of a hand onto the fingers of the same hand. The active body of research on microgestures highlights expected properties including speed, availability and eye-free interaction. Such properties make microgestures a good candidate for multitasking. However, while praised, the state-of-the-art hypothesis stating that microgestures could be beneficial for multitasking has never been quantitatively verified. We study and compare M[eye]cro to a baseline, i.e., a technique based on physical controllers, in a cockpit-based context. This context allows us to design a controlled experiment involving multitasking with low- and high-priority tasks in parallel. Our results show that performances of the two techniques are similar when participants only perform the selection task. However, M[eye]cro tends to yield better time performance when participants additionally need to treat high-priority tasks in parallel. Results also show that M[eye]cro induces less fatigue and is mostly preferred.

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Multi-plié

Cited by 10 publications

References 37 publications

Developing a Design Space for Critiquing Autopilot Interfaces

Developing a Design Space for Critiquing Autopilot Interfaces

Molecular HCI

M[eye]cro

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